The association between CEO characteristics and privileges and the extent of firms’ sustainability disclosure: The role of board independence
Bibliographic record
Abstract
The literature argues that the quality of a firm’s financial reporting is reflected in the extent of its sustainability disclosure (SD). This study therefore examines the link between CEO characteristics (i.e., age, financial experience, duality leadership structure) and privileges (i.e., compensation and ownership) and the extent of SD. It also examines whether board independence has a vital impact on this association. A panel data set of 329 firm-year observations of firms listed on the Amman stock Exchange (ASE) between 2022 and 2023 is investigated. While the results show that a CEO’s age and compensation positively and significantly affect the magnitude of a firm’s SD, the CEO’s financial experience, duality and ownership do not have a significant link to SD. Moreover, when board independence moderates the association between CEO characteristics and privileges and the extent of SD, the only variable that has a positive and significant effect on the extent of sustainability information is the CEO’s age. The findings are expected to be beneficial to firms’ decision makers regarding the selection of CEOs, as well as in deciding their compensation schemes. It also adds new evidence to the current debate in the literature on this issue, especially from a developing capital market like Jordan.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".